Brockful

Brockful — CS2 Stats

76561198160018310[U:1:199752582]Steam profile ↗✓ No bans

327Tracked matches63%Win rate2021Tracked since
701Hours in CS4Hrs last 2 wks
CSDB Rating5.4 DevelopingHybrid Rifler
Premier CS Rating13,320Blue band · top ~37.3% of ranked players (population est.)
CSDB Leaderboard#25006 of 37715 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate31.7%41.4%44.2%12.5% short
Shot accuracy10.5%9.0%11.6%1.0% short
Kill/death ratio1.000.971.030.03 short
Match win rate38.5%43.7%45.2%6.7% short

This profile sits below the typical Purple band player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGBrockfulPREMIER13,320 · Blue bandcsdb.gg/stats

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Performance scores

Aim67
Positioning52
Utility41

0–100 skill scores via Leetify.

Recent form

HOT51418Last 10051%Win rateLWWWTTWWWW

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.7
Aggression4.6
Utility4.1
Positioning5.2
Opening Duels0.9

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 82% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 590ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.7
Positioning5.2
Utility4.1
Mechanics7.0
Opening Duels0.9
Win Impact9.2

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time602ms+5ms
first ⅓ avg 597ms → last ⅓ avg 602ms
Headshot accuracy13.6%−1.3%
first ⅓ avg 14.9% → last ⅓ avg 13.6%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.13Best rating — nuke 13–4
131Biggest win — office
5Longest win streak
76In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 59% over 17ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
officeC23101343%-0.00
vertigoA1911858%-0.02
anubisA1710759%-0.00
ancientD72529%-0.02
cache43175%0.04
nuke42250%-0.01
inferno42250%0.04
italy31233%-0.02
boulder21150%0.01
alpine220100%-0.06
stronghold21150%-0.01
train21150%0.02
agency21150%0.06
shelter1010%0.01
fachwerk1010%0.04
poseidon1010%-0.06
dust2110100%-0.08
overpass110100%0.08
warden1010%-0.01
palacio110100%0.06
golden110100%0.03
whistle1010%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,840Lifetime kills
1.00K/D · Top 50% of Blue band
1,131Matches
38.5%Match win rate
31.7%Headshot %
10.5%Shot accuracy · Top 50% of Blue band
1,555MVPs
340Hours (in match)
734Bombs planted
142Bombs defused

Most-used weapons

Lifetime map wins

1,100inferno
1,062dust2
947office
691vertigo
557nuke
52italy
41train
38cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.1%Headshot accuracy
34.1%Accuracy (enemy spotted)
39.4%Spray accuracy
81.6%Counter-strafing
9.6°Preaim
590msReaction time
30.7%T opening success
36.3%CT opening success
0.42Enemies flashed / flash
5.2%Flash assists
12.36HE damage / grenade
3.50Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.0952% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4185 — below the 0.5 mark we flag

    Grenade Lineups
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 30.7309% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.1015%23 Aug
anubis13–5-0.0314%23 Aug
office13–50.0518%23 Aug
anubis13–70.028%23 Aug
anubis12–12-0.0022%21 Aug
office12–120.0621%21 Aug
anubis13–8-0.0015%9 Aug
boulder13–11-0.049%9 Aug
vertigo13–11-0.0616%19 Jul
anubis13–80.0419%19 Jul
office3–13-0.0215%19 Jul
office13–10-0.0621%15 Jul
vertigo13–10-0.1013%12 Jul
boulder12–120.0510%12 Jul
shelter10–130.0113%12 Jul
fachwerk8–130.0411%12 Jul
ancient13–8-0.0014%5 Jul
vertigo11–10.0118%5 Jul
cache13–110.0716%5 Jul
office11–13-0.0016%5 Jul
vertigo8–13-0.0114%4 Jul
vertigo13–11-0.0214%3 Jul
office10–13-0.0217%3 Jul
vertigo10–13-0.0512%2 Jul
vertigo12–120.0015%22 Jun
vertigo12–12-0.0412%12 May
anubis12–12-0.039%8 May
cache13–50.0710%2 May
nuke5–13-0.036%2 May
vertigo13–9-0.0212%2 May
cache13–70.069%2 May
office11–13-0.015%1 May
ancient13–10-0.0314%29 Apr
cache0–13-0.0620%28 Apr
vertigo13–60.0513%26 Apr
anubis13–10-0.0311%26 Apr
office13–9-0.026%26 Apr
vertigo12–12-0.0316%20 Apr
ancient1–13-0.0216%20 Apr
office7–13-0.060%18 Apr
vertigo13–9-0.0510%18 Apr
office13–30.1014%18 Apr
office13–7-0.0013%18 Apr
nuke13–40.1310%18 Apr
anubis7–13-0.057%18 Apr
nuke11–2-0.0118%17 Apr
anubis7–130.028%17 Apr
ancient8–130.0113%17 Apr
office12–120.029%21 Mar
anubis13–100.047%21 Mar
vertigo13–10-0.037%21 Mar
anubis2–13-0.066%21 Mar
vertigo13–5-0.0113%20 Mar
office9–13-0.0419%20 Mar
vertigo10–13-0.0317%15 Mar
office9–13-0.0015%15 Mar
office13–90.0111%15 Mar
office13–1-0.014%15 Mar
vertigo11–130.0716%8 Mar
office6–13-0.015%8 Mar
office9–130.0110%8 Mar
inferno6–13-0.038%8 Mar
poseidon2–9-0.0619%8 Mar
dust213–7-0.0810%26 Feb
overpass13–30.0813%22 Feb
vertigo11–13-0.014%22 Feb
alpine13–10-0.055%22 Feb
inferno2–00.1240%22 Feb
anubis13–80.0412%18 Feb
stronghold7–130.014%26 Jan
anubis13–110.067%26 Jan
ancient9–13-0.039%26 Jan
anubis2–80.025%26 Jan
train10–130.055%25 Jan
office13–60.0318%25 Jan
stronghold13–8-0.036%25 Jan
office13–80.039%25 Jan
alpine13–8-0.078%25 Jan
warden10–13-0.0114%25 Jan
anubis13–6-0.039%21 Jan
train13–3-0.0118%21 Jan
vertigo13–9-0.0121%21 Jan
inferno13–70.0611%13 Jan
anubis13–1-0.026%13 Jan
anubis4–13-0.0218%11 Jan
agency13–40.0917%10 Jan
agency10–130.0324%10 Jan
palacio13–110.0617%10 Jan
italy13–9-0.0319%10 Jan
inferno8–130.0124%15 Dec
ancient7–130.0128%27 Nov
office11–13-0.0419%27 Nov
golden13–60.0319%19 Nov
nuke3–9-0.1328%19 Nov
vertigo13–8-0.0618%2 Jan
office7–13-0.0313%2 Jan
italy3–130.0312%29 Dec
office13–9-0.0112%29 Dec
italy8–13-0.0513%29 Dec
whistle5–9-0.0210%29 Dec

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →